Demo Data from SIGIR 2026 / reviewers in the wild / expert
Rosell Torres
dblp:132/7585
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Computer animation and physical simulation · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer animation and physical simulation
deformable body simulation |
0.2 | 1 | 2016 | High-resolution interaction with corotational coarsening models · ACM Trans. Graph. 2016 |
Computer animation and physical simulation › model reduction
numerical coarsening |
0.2 | 1 | 2016 | High-resolution interaction with corotational coarsening models · ACM Trans. Graph. 2016 |
Methods — techniques the papers use, named apart from their topics
model reduction · 0.2finite element method · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | High-resolution interaction with corotational coarsening modelsabstractThis paper presents a numerical coarsening method for corotational elasticity, which enables interactive large deformation of high-resolution heterogeneous objects. Our method derives a coarse elastic model from a high-resolution discretization of corotational elasticity with high-resolution boundary conditions. This is in contrast to previous coarsening methods, which derive a coarse elastic model from an unconstrained high-resolution discretization of regular linear elasticity, and then apply corotational computations directly on the coarse setting. We show that previous approaches fail to handle high-resolution boundary conditions correctly, suffering accuracy and robustness problems. Our method, on the other hand, supports efficiently accurate high-resolution boundary conditions, which are fundamental for rich interaction with high-resolution heterogeneous models. We demonstrate the potential of our method for interactive deformation of complex medical imaging data sets. Rosell Torres, Alejandro Rodríguez 0007, José Miguel Espadero, Miguel A. Otaduy |
ACM Trans. Graph. | 1 |